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Behavioral Data Science Jobs in Virginia (NOW HIRING)

Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public ... anomalous behavior, patterns, or suspicious activity. * Familiarity with law enforcement ...

Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ... Bachelor's degree in computer science, data science/statistics, information systems, engineering ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... We leverage our proprietary Apollo ® technology platform to predict consumer behavior, personalize ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... We leverage our proprietary Apollo ® technology platform to predict consumer behavior, personalize ...

Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ... Bachelor's degree in computer science, data science/statistics, information systems, engineering ...

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ... Bachelor's degree in computer science, data science/statistics, information systems, engineering ...

Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ... Bachelor's degree in computer science, data science/statistics, information systems, engineering ...

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ... Bachelor's degree in computer science, data science/statistics, information systems, engineering ...

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ... Bachelor's degree in computer science, data science/statistics, information systems, engineering ...

... behavior, and incorporate human-centered design principles into analytical workflows. * Lead ... Strong proficiency in Python and data science libraries (Pandas, NumPy, scikit-learn) with hands-on ...

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Showing results 1-20

Behavioral Data Science information

See Virginia salary details

$23.3K

$104.4K

$194.5K

How much do behavioral data science jobs pay per year?

As of Jul 15, 2026, the average yearly pay for behavioral data science in Virginia is $104,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,810.00 and $141,989.00 per year, depending on experience, location, and employer.

Is behavioral science in high demand?

Behavioral science roles, including behavioral data science, are increasingly in demand across industries such as marketing, healthcare, and technology due to the growing emphasis on understanding human behavior through data analysis. Professionals with skills in statistics, psychology, and data tools like Python or R are sought after to develop insights and influence decision-making. The field is expected to continue expanding as organizations prioritize data-driven strategies.

What do behavioral data scientists do?

Behavioral data scientists analyze data related to human behavior to identify patterns and insights that can inform decision-making. They use statistical methods, machine learning tools, and behavioral theories to interpret data from sources like surveys, digital interactions, and experiments, often working with programming languages such as Python or R. Their work supports areas like marketing, product development, and user experience optimization.

What is a Behavioral Data Science job?

A Behavioral Data Science job focuses on analyzing human behavior using data-driven techniques from psychology, economics, and machine learning. Professionals in this field work with large datasets to understand, predict, and influence decision-making patterns. They apply statistical models, AI, and behavioral theories to areas like marketing, finance, healthcare, and policy-making. The role typically involves data collection, analysis, and interpretation to optimize user experiences and business strategies.

What types of projects or problems do Behavioral Data Scientists typically work on?

Behavioral Data Scientists often tackle projects that involve analyzing patterns in user behavior, identifying factors that drive engagement, or developing predictive models related to decision-making. They may work on optimizing customer experiences, evaluating the effectiveness of behavioral interventions, or supporting product teams with data-driven insights. The role frequently involves collaborating with psychologists, UX researchers, and business strategists to integrate behavioral data into broader company goals. This work requires both technical analysis and the ability to communicate findings to diverse stakeholders.

What can I do with a BS in behavioral science?

A BS in behavioral science prepares individuals for roles such as behavioral data analyst, research assistant, or user experience researcher, where they analyze human behavior and apply insights to improve products, services, or policies. Skills in data analysis, statistical tools, and understanding of psychological principles are essential for these positions.

What can I do with a career in behavioural sciences?

A career in behavioural sciences, including roles like behavioral data scientist, involves analyzing human behavior using data analysis, statistical tools, and psychological theories. Professionals can work in areas such as market research, user experience, public health, or policy development, often requiring skills in programming, data visualization, and research methods. These roles typically involve interpreting data to inform decision-making and improve outcomes across various industries.

What are the key skills and qualifications needed to thrive in the Behavioral Data Science position, and why are they important?

To thrive as a Behavioral Data Scientist, you need expertise in behavioral science, statistics, and data analysis, typically backed by an advanced degree in psychology, data science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as certifications in data analytics, is highly valued. Strong critical thinking, communication, and collaboration skills help you interpret complex data patterns and translate them into actionable insights. These abilities are crucial for effectively analyzing human behavior data and driving organizational decision-making.

What are the most commonly searched types of Behavioral Data Science jobs in Virginia? The most popular types of Behavioral Data Science jobs in Virginia are:
What job categories do people searching Behavioral Data Science jobs in Virginia look for? The top searched job categories for Behavioral Data Science jobs in Virginia are:
What cities in Virginia are hiring for Behavioral Data Science jobs? Cities in Virginia with the most Behavioral Data Science job openings:
Infographic showing various Behavioral Data Science job openings in Virginia as of July 2026, with employment types broken down into 5% As Needed, 70% Full Time, 20% Part Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $104,426 per year, or $50.2 per hour.
AI/ML Data Scientist

AI/ML Data Scientist

Guidehouse

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 58 rated business consultants


Job description

Job Family:
Data Science Consulting
Travel Required:
Up to 25%
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
  • Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.
  • Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.
  • Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis.
  • Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions.
  • Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms.
  • Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs.
  • Support the development of analytics, reporting, and dashboards to drive operational insights and decision-making.
  • Operate within an Agile delivery model, contributing to sprint planning, experimentation, and iterative solution delivery.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences, including client stakeholders.
  • Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities

What You Will Need:
  • A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is required
  • A minimum of FOUR (4) years of experience in data science, machine learning, or applied analytics roles
  • U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
  • Experience developing and applying machine learning models, including:
    • Natural Language Processing (NLP)
    • Semantic search or information retrieval
    • Entity resolution or relationship modeling
  • Experience working with large-scale structured and unstructured data, particularly document-based datasets (e.g., text, PDFs, images).
  • Experience leveraging metadata and extracted features to support analytics and modeling.
  • Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow) and solid SQL skills.
  • Experience working with Databricks and/or Spark-based environments for scalable data processing.
  • Familiarity with AWS cloud services for data access, processing, or model deployment.
  • Experience working with data lake or lakehouse architectures (e.g., AWS S3, Databricks), including querying and transforming large-scale datasets.
  • Experience integrating models into production environments (e.g., APIs, batch pipelines, or embedded analytics platforms).
  • Understanding of model evaluation, validation, and performance metrics.
  • Strong communication skills and ability to translate analytical outputs into actionable insights.
  • Experience working in cross-functional, matrixed teams in an Agile environment.

What Would Be Nice To Have:
  • Experience supporting fraud detection, risk analytics, or investigative use cases, including development of models or analytics to identify anomalous behavior, patterns, or suspicious activity.
  • Familiarity with law enforcement, regulatory, or compliance-focused analytics environments, including data used in investigations, intelligence analysis, or case management workflows.
  • Experience working with abuse-related datasets or use cases (e.g., financial fraud, identity theft, program integrity, cyber abuse), including applying NLP, entity resolution, or graph analytics to detect and analyze abusive or fraudulent behavior.
  • Understanding of investigative analytics techniques, including link analysis, network/graph-based modeling, and relationship mapping to support law enforcement or fraud detection initiatives.
  • Experience working with Palantir Foundry and/or Palantir AIP, particularly in support of AI-enabled search or analytics workflows.
  • Consulting experience strongly preferred.
  • Experience building AI-enabled search solutions, including semantic search, document retrieval, and ranking models.
  • Experience with multimodal data processing, including text and image-based analytics.
  • Familiarity with OCR/ICR pipelines and document intelligence use cases.
  • Experience with enterprise ML platforms (e.g., AWS SageMaker, Databricks Machine Learning) for model development, deployment, and lifecycle management.
  • Experience developing explainable AI (XAI) solutions, including confidence scoring and traceability of results.
  • Experience designing analytics dashboards or reporting solutions for end users.
  • Previous experience supporting federal clients or working in regulated environments.
  • Experience in a consulting firm and/or client-facing delivery role.
  • Experience supporting training, user enablement, or scaling analytics capabilities across teams.
  • Familiarity with graph-based analytics, ontology-driven models, or relationship mapping.

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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